SPICE MODEL of LM119H/883 in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of LM119H/883 in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of LM119W/883 in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
SPICE MODEL of LM119WG/883 in SPICE PARK. English Version is http://www.spicepark.net. Japanese Version is http://www.spicepark.com by Bee Technologies.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
SPICE MODEL of NJM2903 in SPICE PARK
1. Device Modeling Report
COMPONENTS: VOLTAGE COMPARATOR
PART NUMBER: NJM2903
MANUFACTURER: NEW JAPN RADIO
Bee Technologies Inc.
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
2. BJT MODEL
Pspice model
Model description
parameter
IS Saturation Current
BF Ideal Maximum Forward Beta
CJC Zero-bias Collector-Base Junction Capacitance
TF Forward Transit Time
TR Reverse Transit Time
DIODE MODEL
Pspice model
Model description
parameter
IS Saturation Current
RS Series Resistance
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
3. Output Low Voltage
Simulation result
Simulation
Evaluation Circuit
U1
AOUT V+
VOL
A-IN A BOUT
- +
A+IN B B-IN
+ -
V1 GND B+IN
V2
NJM2903
1
I1 5
3m
0
Comparison Table
Isink = 3mA Measurement Simulation %Error
Vol (mV) 200 198.557 -0.7215
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
4. Sink Current
Simulation result
Simulation
Evaluation Circuit
U2
AOUT V+
A-IN A BOUT
- +
A+IN B B-IN
+ -
V4 GND B+IN
V5
sink NJM2903
1
1.5
5
0
Comparison Table
Vol = 1.5 V Measurement Simulation %Error
Isink (mA) 6 6.0172 0.2867
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
5. Response time (Rise time and Transition time)
Simulation result
OUTPUT
Evaluation Circuit
U2
AOUT V+
Tr
A-IN A BOUT
- +
A+IN B B-IN
+ -
RL1
GND B+IN
5.1k
V1 = -20m V1 NJM2903
V2 = 100m
TD = 0 V3
V21 TR = 1n
5 TF = 1n 5
PW = 5u
PER = 10u
0
Comparison Table
Measurement Simulation % Error
Rising delay time (us) 0.63 0.628491 -0.2395
Transition time (us) 0.12 0.124967 4.1392
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
6. Response time (Falling time)
Simulation result
OUTPUT
Evaluation Circuit
U1
AOUT V+
Tf
A-IN A BOUT
- +
RL A+IN B B-IN
+ -
5.1k
GND B+IN
V1 = -100m V5
V2 = 20m
NJM2903
TD = 0 V4
TR = 1n
5 V2 TF = 1n 5
PW = 5u
PER = 10u
0
Comparison Table
Measurement Simulation % Error
Falling delay time (us) 0.43 0.429501 -0.1160
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
7. Input Offset Voltage Characteristics
Simulation result
Simulation
Evaluation Circuit
U1
AOUT V+
output
A-IN A BOUT
- +
A+IN B B-IN
+ -
RL
GND B+IN
15k
V1 NJM2903
V3
V2 0Vdc
5
5
0
Comparison Table
Measurement Simulation %Error
Vio(mV) 7 6.9793 -0.2957
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
8. Av Characteristics
Simulation result
Simulation
Evaluation Circuit
U1
AOUT V+
output
A-IN A BOUT
- +
A+IN B B-IN
+ -
RL GND B+IN
V2
15k VOFF = 0 V3
NJM2903
VAMPL = 0
FREQ = 0 V1 5
V4 AC = 1m
DC = -6.9793m
0Vdc
5
0
Comparison Table
RL = 15k Measurement Simulation %Error
Av (dB) 106 105.599 -0.3783
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005
9. Input Bias Current Characteristics
Simulation result
Ib
IIO
Evaluation Circuit
U1
AOUT V+
A-IN A BOUT
- +
A+IN B B-IN
+ -
RL
GND B+IN
15k
V2
NJM2903
V3
0Vdc
V1 5
V4 0Vdc
5
0
Comparison Table
Measurement Simulation % Error
Ib (nA) 50 49.804 -0.3920
IIO (nA) 250 246.035 -1.5860
All Rights Reserved Copyright (c) Bee Technologies Inc. 2005